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Homotopy-Aware Multi-Agent Path Planning in Plane

This is a repository for the following paper:

  • Kazumi Kasaura. 2023. “Homotopy-Aware Multi-Agent Path Planning in Plane.”

Required Library

You can use Dockerfile to build an environment.

Build

mkdir build
cd build
cmake ..
make

The following commands are to be run on the build folder.

./PP_on_grid H < input_file

where H is the number of required solutions.

sample folder contains samples of input files.

Experiments

The scripts for experiments are stored in scripts folder The scripts to show graphs are also contained in scripts folder. All scripts must be run in the build folder.

Evaluation of Runtime

Generate instances

bash ../script/generate_map_instances.sh empty-48-48 500 10
bash ../script/generate_map_instances.sh den312d 500 10
bash ../script/generate_map_instances.sh random-64-64-10 500 10

Solve

bash ../script/record_logs_map.sh empty-48-48 500 10 100
bash ../script/record_logs_map.sh den312d 500 10 100
bash ../script/record_logs_map.sh random-64-64-10 500 10 100

Plot results

python3 ../script/show_runtimes_map.py
python3 ../script/show_maxcd.py

Plot coordinates for random braids

bash ../script/run_cd_values.sh
python3 ../script/show_cd_values.py

Optimization Experiment

Generate instances

bash ../script/generate_map_instances_2.sh empty-14-14 10 100
bash ../script/generate_map_instances_2.sh obstacle-14-14 10 100

Solve

bash ../script/solve_by_PP.sh empty-14-14 10 100 100
bash ../script/solve_by_PPvP.sh empty-14-14 10 100 100
bash ../script/solve_by_PP.sh obstacle-14-14 10 100 100
bash ../script/solve_by_PPvP.sh obstacle-14-14 10 100 100

Although this repository does not contain any optimal MAPF solver for the Optimal One baseline, results of such a solver must be stored in folders named empty-14-14_ICBS_results and obstacle-14-14_ICBS_results for the following steps.

Optimization

bash ../script/optimize_PP_and_CBS.sh empty-14-14 10 100 100
bash ../script/optimize_PP_and_CBS.sh obstacle-14-14 10 100 100

Plot results

python3 ../script/show_results.py
python3 ../script/show_winning_rate.py

Show histogram

python3 ../script/count_braids.py empty-14-14 0 > count_empty-14-14.txt
python3 ../script/count_braids.py obstacle-14-14 5 > count_obstacle-14-14.txt
python3 ../script/show_histogram.py

License

This software is released under the MIT License, see LICENSE.

Citation

@misc{kasaura2024homotopyaware,
      title={Homotopy-Aware Multi-Agent Path Planning in Plane}, 
      author={Kazumi Kasaura},
      year={2024},
      eprint={2310.01945},
      archivePrefix={arXiv},
      primaryClass={cs.MA}
}